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PUMA Group

Senior Software Engineer (Quality) - Consumer Intelligence & Engagement

Posted 18 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Canada
Senior level
In-Office or Remote
Hiring Remotely in Canada
Senior level
Lead quality strategy and test automation for personalization, recommendation, experimentation and consumer intelligence. Build and maintain automated test frameworks (API, integration, contract, E2E), integrate quality into CI/CD, validate ML-driven outputs and consumer journeys, manage test data/environments, and coach engineers to improve release reliability and engineering quality.
The summary above was generated by AI

SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.

Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION

About the Organisation & Role:

You will be part of the Consumer Intelligence & Engagement organisation responsible for delivering the intelligence and engagement capabilities that enable more relevant and personalised consumer experiences across digital channels. The organisation plays a key role in how consumers discover products, engage with content, and elevate experiences through membership & loyalty. Through capabilities such as personalisation, recommendations, consumer intelligence, experimentation, and AI-driven decisioning, the organisation helps deliver more contextual, data-driven interactions across the consumer journey.

As a Senior Quality Engineer, you will own quality strategy, test automation and test execution for personalisation and recommendation capabilities. You will work closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams to embed quality throughout the development lifecycle. Your focus will be building scalable automation, validating AI powered consumer experiences, improving engineering quality and enabling fast, reliable releases.

What you will do:

  • Define and drive quality strategy & standards for personalisation, recommendation, experimentation, and consumer intelligence capabilities.
  • Design, build and maintain automated test frameworks covering API, integration, contract, functional and E2E testing.
  • Embed quality throughout the software development lifecycle by partnering closely with Software Engineers, Tech Leads, Product Owners and Data Engineering teams.
  • Validate recommendation outputs, personalisation rules, consumer segmentation, experimentation journeys through automated & manual test suite.
  • Establish test data, test environments and quality validation approaches for personalised consumer journeys.
  • Drive shift-left quality practices through automation, quality gates, CI/CD integration and risk based testing.
  • Ensure quality and consistency across browsers, devices, and digital consumer journeys.
  • Leverage AI-assisted quality engineering practices to improve test coverage, regression efficiency, defect detection and engineering productivity.
  • Define quality metrics, test coverage goals and continuous improvement initiatives across the team.
  • Coach engineers on test automation, quality practices and continuous improvement.

YOUR TALENT
  •  7+ years of experience in Quality Engineering, Test Strategy and Test Automation.
  • Strong experience designing and scaling automation frameworks for modern digital platforms.
  • Hands-on experience with Playwright, Cypress, Appium, Selenium or equivalent automation frameworks.
  • Strong experience in API, integration, contract, E2E, regression and release validation testing.
  • Experience building automated quality pipelines integrated with CI/CD processes.
  • Experience validating personalisation, recommendations and experimentation platforms.
  • Experience with test data management, consumer segmentation and data quality validation.
  • Strong understanding of APIs, microservices, event-driven architectures and distributed systems.
  • Experience validating recommendation outputs, business rules and consumer-facing experiences.
  • Experience with observability setup for quality engineering and production quality analytics preferred.
  • Strong collaboration and communication skills with the ability to influence engineering quality across multiple teams.
  • Experience using coding agents, AI-assisted testing tools or LLMs to improve testing productivity and quality outcomes.
  • Experience in eCommerce, retail, consumer digital products, personalisation or recommendation platforms is strongly preferred.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.

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